Best NoSQL Solutions for High‑Volume Event Streaming

Highly scalable, peer‑to‑peer distributed database designed for continuous high‑velocity writes and low‑latency reads.

Drop‑in Apache Cassandra replacement written in C++ that delivers up to 10× lower latencies and higher throughput.

Fully managed key‑value and document store with on‑demand scaling, fine‑grained throttling, and DynamoDB Streams for change capture.

Petabyte‑scale, low‑latency NoSQL wide‑column store built on the same technology as Google Search.

Globally distributed, multi‑model database offering turnkey throughput, automatic indexing, and change feed for event streaming.

Document‑oriented database with high‑throughput insert capabilities and Change Streams for real‑time event propagation.

Combined key‑value and document store with built‑in DCP (Database Change Protocol) for low‑latency event streaming.

In‑memory data structure store offering Redis Streams, a log‑based data type for high‑speed event ingestion and consumer groups.

High‑performance NoSQL key‑value store optimized for flash and RAM, supporting millions of writes per second.

Column‑family store built on Hadoop HDFS, providing strong consistency and massive write throughput.

Distributed NewSQL database compatible with MySQL, offering horizontal scalability and real‑time analytics on streaming data.

Column‑oriented DBMS designed for real‑time analytical queries on high‑volume event streams.

Distributed graph database with high‑throughput mutations, suitable for event‑driven relationship analytics.

Globally distributed, serverless document/graph database with built‑in change streams and ACID transactions.

Realtime database that pushes query results to applications as data changes, ideal for live dashboards.

Commercially supported Cassandra distribution with advanced security, analytics, and integrated streaming connectors.

Managed Cassandra‑compatible service that abstracts provisioning while preserving native Cassandra APIs.

Massively scalable key‑value store with low‑cost tiering, often used as a sink for high‑volume telemetry.

Document database with real‑time listeners and automatic scaling, suitable for event‑driven mobile/web apps.

Document store with MVCC and built‑in replication; its _changes feed enables simple event streaming pipelines.

Multi‑model database (document, graph, key‑value) offering Foxx microservices for real‑time event processing.

PostgreSQL extension for time‑series data that handles high‑frequency event ingestion with hypertables.

Purpose‑built time‑series database optimized for high‑write loads and continuous queries on streaming metrics.

Open‑source, PostgreSQL‑compatible distributed SQL database with a Cassandra‑compatible API for high‑throughput writes.

Multi‑model, ACID‑compliant key‑value store that can be layered to provide document or graph semantics for streaming workloads.

Simple in‑memory key‑value store often placed in front of NoSQL back‑ends to absorb bursty event spikes.

Distributed search and analytics engine that ingests event streams via Logstash or Beats for near‑real‑time querying.

In‑memory data fabric offering key‑value, SQL, and compute grid capabilities for ultra‑low‑latency event processing.

Columnar storage system designed for fast inserts and scans, often paired with NoSQL layers for streaming analytics.

High‑performance time‑series database with a SQL interface, optimized for ingesting millions of events per second.